A multiobjective adaptive surrogate modeling-based optimization (MO-ASMO) framework using efficient sampling strategies

by Lee, Yong Hoon, Corman, R. E., Ewoldt, Randy H. and Allison, James T.

Reference:

Yong Hoon Lee, R. E. Corman, Randy H. Ewoldt, James T. Allison, "A multiobjective adaptive surrogate modeling-based optimization (MO-ASMO) framework using efficient sampling strategies", in ASME IDETC/CIE Conference, Volume 2B: 43rd Design Automation Conference, DETC2017-67541, Cleveland, OH, USA, August 2017, pp. V02BT03A023.

Bibtex Entry:

@inproceedings{Lee2017DETC,
    author = "Lee, Yong Hoon and Corman, R. E. and Ewoldt, Randy H. and Allison, James T.",
    title = "A multiobjective adaptive surrogate modeling-based optimization ({MO-ASMO}) framework using efficient sampling strategies",
    booktitle = "ASME IDETC/CIE Conference, Volume 2B: 43rd Design Automation Conference",
    address = "Cleveland, OH, USA",
    year = "2017",
    month = aug,
    day = "6-9",
    number = "DETC2017-67541",
    pages = "V02BT03A023",
    pdf = "/public_files/papers/Lee_IDETC2017.pdf",
    doi = "10.1115/DETC2017-67541",
    gsid = "6446971347568604282",
}